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Muscle Metaboreflex Modulation of Biventricular Function During Exercise

2025· article· en· W4411789686 on OpenAlexaff
Stephen Foulkes, Justin S. Lawley, Richard Thompson, Dean R. Perkins, Hendrik Mugele, Nigel A. Callender, Rachel J. Skow, Mark J. Haykowsky, Corey R. Tomczak

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsCardiologyInternal medicineFunction (biology)ChemistryMedicineEndocrinologyAnatomyBiologyCell biology

Abstract

fetched live from OpenAlex

In supine resting conditions muscle metaboreflex activation (MMA) elicits an increase in blood pressure through sympathetic-mediated vasoconstriction, while direct cardiac augmentation is masked by vagal activity. We tested the hypothesis that biventricular function would be augmented by superimposing MMA during exercise (EX) where vagal activity is markedly reduced. While undergoing cardiac magnetic resonance imaging (2.89T, Siemens Prisma), 12 participants (mean±SD; 26±4 yrs, 9 females, BMI=22.1±2.3 kg/m 2 ) performed step ergometry EX at 50 W for 5 min. This was followed by 2 min of isometric handgrip (right hand) at 40% maximal voluntary contraction during uninterrupted EX. Ten seconds before termination of handgrip, circulatory occlusion in the exercising arm was achieved by inflating a brachial cuff at 220 mmHg (MMA). EX continued with superimposed MMA (EX+MMA) for an additional 5 min. Imaging was performed to attain comprehensive cardiac coverage, utilizing a contiguous series of 23 short-axis slices (8 mm each) and 15 horizontal long-axis slices (8 mm each). Acquisition included 50-75 temporal frames (36 ms/frame) and employed a validated free-breathing technique. Images were acquired in the last 2-min of EX and EX+MMA. Right (RV) and left ventricular (LV) end-diastolic (EDV) and end-systolic (ESV) endocardial borders were measured at end-expiration, with stroke volume calculated as the average of LV and RV stroke volume to account for respiratory variation. Data were analyzed with two-way repeated measures ANOVA with Sidak multiple comparisons tests and t-tests. Resting cardiac values were as follows: RVEDV=203±51 ml, RVESV=88±24 ml, LVEDV=201±36 ml, LVESV=81±16 ml, stroke volume=116±28 ml, heart rate=70±10 bpm, cardiac output=8.1±2.3 l/min. Simultaneously determined pulmonary oxygen uptake was similar from EX (0.97±13 l/min) to EX+MMA (1.00±15 l/min, p = 0.1524), suggesting comparable metabolic requirements for both conditions. There was no effect of exercise condition on RVEDV (EX: 199±49 ml to EX+MMA: 193±46 ml) and LVEDV (EX: 204±38 ml to EX+MMA: 203±37 ml, interaction: p = 0.1817). There was a significant ventricle by exercise condition interaction (p=0.0065) for ESV where RVESV (EX: 76±23 to EX+MMA: 64±18 ml, p < 0.0001) and LVESV (EX: 76±17 to EX+MMA: 72±15 ml, p = 0.0424) decreased during EX+MMA. The magnitude in ESV reduction was greater in the RV (-12±12 ml) compared to the LV (-4±7 ml, p = 0.0065). Stroke volume increased 4±6 ml from EX (126±25 ml) to MMA+EX (130±28 ml, p = 0.0399). There was a non-significant increase in heart rate from EX (106±11 bpm) to EX+MMA (109±13 bpm, p = 0.1782). Consequently, cardiac output increased from EX (13.3±2.6 l/min) to EX+MMA (14.1±3.1 l/min, p = 0.0546). Together, the data demonstrate that while MMA induced greater reductions in RVESV compared to LVESV, the overall impact on SV was modest. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.254
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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